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Mohsin Murad, Imran A. Tasadduq and Pablo Otero
Multicarrier techniques have made it possible to wirelessly transmit data at higher rates for underwater acoustic (UWA) communication. Several multicarrier techniques have been explored in the past for wireless data transmission. OFDM is known to fight o...
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Jovan Menezes and Timothy Sands
Discretization is the process of converting a continuous function or model or equation into discrete steps. In this work, learning and adaptive techniques are implemented to control DC motors that are used for actuating control surfaces of unmanned under...
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Huajian Deng, Hao Wang, Yang Liu and Zhonghe Jin
Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the vi...
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Lixin Wang, Shang Tai, Ting Yue, Hailiang Liu, Yanling Wang and Chen Bu
The wind tunnel virtual flight test realizes the dynamic semi-free flight of the model in the wind tunnel through the deflections of the control surface and uses the test data to identify the aerodynamic derivatives. The difference in dynamics between th...
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Karthikeyan Nainar and Florin Iov
Power-distribution grids consist of assets such as transformers, cables, and switches, of which the proper utilization is essential for the provision of a secure and reliable power supply to end customers. Distribution-system operators (DSOs) are respons...
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Minjeong Kim, Daseon Hong and Sungsu Park
This paper presents two amplitude comparison monopulse algorithms and their covariance prediction equation. The proposed algorithms are based on the iterated least-squares estimation method and include the conventional monopulse algorithm as a special ca...
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Anna Sliwinska, Adam Smolinski and Piotr Kucharski
The application of Fourier transform infrared spectroscopy to the simultaneous analysis of heavy metal concentration in soil samples was demonstrated in this paper. Two spectral techniques, namely, attenuated total reflectance (ATR) and diffuse reflectan...
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This paper proposes an adaptive phasor estimation algorithm based on a least square method that can suppress the adverse effect of an exponentially decreasing DC offset component in a phasor estimation process. The proposed algorithm is composed of three...
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Diya Wang, Yonglin Zhang, Lixin Wu, Yupeng Tai, Haibin Wang, Jun Wang, Fabrice Meriaudeau and Fan Yang
In recent years, the study of deep learning techniques for underwater acoustic channel estimation has gained widespread attention. However, existing neural network channel estimation methods often overfit to training dataset noise levels, leading to dimi...
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Lixin Wang, Rong Zhao and Yi Zhang
Current aerodynamic parameter identification methods take the consistency between the response of the motion model reconstructed with the identified aerodynamic parameters and flight data as an optimization index. Since there is only one index constraint...
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Tiffany Fan, David I. Shuman, Shashanka Ubaru and Yousef Saad
We propose and investigate two new methods to approximate ??(??)??
f
(
A
)
b
for large, sparse, Hermitian matrices ??
A
. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind bot...
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Mohamed Lassaad Ammari
Pág. 52 - 58
In this paper, we consider the transmission of turbo coded symbols in the indoor radio environment. The system isaffected by the intersymbol interference (ISI) caused by the multipath time-delay spread of the transmission medium. To reduce the channel ef...
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D. C. Bowie,D. J. Bradfield
AbstractIn this article we focus on beta estimation in the thinly-traded environment of the Johannesburg Stock Exchange (JSE). We build on existing literature by evaluating a beta estimation procedure known as the trade-to-trade which has not until now b...
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Haitong Xu and C. Guedes Soares
A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the acc...
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Fei Jin and Lung-fei Lee
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Fuqin Yang, Yang Liu, Jiayu Yan, Lixiao Guo, Jianxin Tan, Xiangfei Meng, Yibo Xiao and Haikuan Feng
The rapid and accurate estimation of crop yield is of great importance for large-scale agricultural production and national food security. Using winter wheat as the research object, the effects of color indexes, texture feature and fusion index on yield ...
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Na Luo, Yunlong Li, Baohua Yang, Biyun Liu and Qianying Dai
The content of tea polyphenols (TP) is one of the important indicators for judging the quality of tea. Accurate and non-destructive estimation technology for tea polyphenol content has attracted more and more attention, which has become a key technology ...
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Raúl Ulices Silva-Ávalos, Hugo Enrique Júnez-Ferreira, Julián González-Trinidad and Carlos Bautista-Capetillo
In Mexico, agriculture in semi-arid regions is highly dependent on groundwater resources, where most of the aquifers? characterization is a pending task. In particular, the depth to the basement is unknown for most of the Mexican territory. Hence, the de...
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A. V. Zakharov,I. S. Kurilova,R. R. Ramazanova,O. G. Starceva
Pág. 16 - 20
The production time series for the classical Cobb-Douglas function on capital and labor costs is considered. Discrepancies between theoretical values of output (Cobb-Douglas function) and real indicator values are interpreted as random deviations. Instea...
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Richard J. Cebula
Pág. 203 - 218
This empirical study adopts an open-economy loanable funds model to investigate the impact of post-Bretton Woods U.S. federal government budget deficits and personal income tax rates on the ex post real interest rate yield on thirty-year Treasury bonds. ...
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